Cloud Native Engineer

QuadSci; México; Remote; MXN 600,000 - 1,000,000; Full time

Job summary

QuadSci is hiring a Cloud Engineer to build and run the cloud platform behind our AI products. This remote role is based in Mexico and joins a team managing multi-cloud environments on Azure, GCP and AWS.

The role is hands-on and focuses on provisioning infrastructure, deployment pipelines, observability, security, and cost optimization. You will work with backend and data teams to ensure reliable, self-service deployments across clouds while maintaining strong security postures and compliance

Qualifications

• Bachelor's degree in Computer Science, Systems Engineering, IT or related field with valid licensure.
• 3+ years in cloud infrastructure, DevOps or platform engineering.
• Solid experience with at least one major cloud: Azure, GCP or AWS.
• Understanding of cloud architecture concepts: high availability, scalability, disaster recovery, security by design, cost-aware design.
• Infrastructure as Code with Terraform (or equivalent).
• Working knowledge of Docker and container orchestration.
• Experience building CI/CD pipelines (Bitbucket, GitHub Actions, GitLab CI, Azure DevOps).
• Comfort with Linux, networking fundamentals and scripting (Bash or Python).
• Professional working English for daily collaboration.

Responsibilities

• Design, provision and maintain cloud infrastructure across Azure, GCP and AWS.
• Deploy and operate containerized services and manage networking, DNS, TLS and secrets.
• Build and improve CI/CD pipelines and infrastructure automation.
• Run managed databases and data services with sizing, backups and upgrades.
• Set up monitoring, logging and alerting; participate in incident response.
• Manage identity and access across clouds and secure internal and customer apps.
• Contribute to security/compliance through audits and evidence.
• Track cloud costs and document architecture and decisions.
• Collaborate with backend and data teams for reliable deployments.
• Act as trusted cloud advisor across customer environments.

Skills

English proficiency

Cloud concepts

Team collaboration

Education

Bachelors degree in CS/IT/Engineering

Tools

Terraform

Docker

Kubernetes

CI/CD pipelines

Linux scripting (Bash/Python)

Job description

QuadSci is an AI product company that uses fine-tuned AI on customer data and telemetry to predict churn, contraction, and growth up to 12 months ahead for software companies. We bridge the gap between AI progress and great customer experiences, helping software companies prioritize customers to boost performance. QuadSci enables GTM leaders (Sales, Customer Success, Services, etc.) to scientifically manage the customer lifecycle, GTM performance, and ARR predictability, significantly aiding the "Rule of 40."

Cloud Native Engineer

About QuadSci.ai

QuadSci is an AI product company that uses fine-tuned AI on customer data and telemetry to predict churn, contraction, and growth up to 12 months ahead for software companies. We bridge the gap between AI progress and great customer experiences, helping software companies prioritize customers to boost performance. QuadSci enables GTM leaders (Sales, Customer Success, Services, etc.) to scientifically manage the customer lifecycle, GTM performance, and ARR predictability, significantly aiding the "Rule of 40."

About the Role

QuadSci is hiring a Cloud Engineer, fully remote and based in Mexico, to build and run the cloud platform behind our products. You will join a cloud infrastructure team that manages multi-cloud environments on Azure, GCP and AWS.

The role is hands-on: you will provision infrastructure, ship deployment pipelines, keep services observable and secure, and support both internal engineering teams and external customers. We work across all three clouds, so strong experience in any one of them is a solid base.

What You’ll Do

• Design, provision and maintain cloud infrastructure with Terraform, across Azure, GCP and AWS.
• Deploy and operate containerized services (for example Azure Container Apps, Kubernetes or Cloud Run), including networking, DNS, TLS and secrets.
• Build and improve CI/CD pipelines and infrastructure automation, including dependency updates and Terraform workflows.
• Run managed databases and data services such as PostgreSQL, Redis and vector databases: sizing, backups, upgrades and performance.
• Set up monitoring, logging and alerting, and take part in incident response and root-cause analysis.
• Apply identity and access management with least privilege across clouds, and manage authentication for internal and customer-facing apps.
• Support security and compliance work: evidence for audits, answers to customer security questionnaires, and hardening based on findings.
• Track and reduce cloud costs, and document architecture, runbooks and decisions for the team.
• Work with backend developers and data teams to make deployments reliable and self-service.
• Act as a trusted cloud advisor across multiple customer environments.

Basic Qualifications (Must Have)

• Bachelor's degree (Licenciatura or Ingeniería) in Computer Science, Systems Engineering, IT or a related field, with a valid Cédula Profesional de Licenciatura issued by the SEP.
• 3+ years of hands-on experience in cloud infrastructure, DevOps or platform engineering.
• Solid experience with at least one major cloud: Azure, GCP or AWS.
• Understanding of cloud solution architecture concepts: high availability, scalability, fault tolerance, disaster recovery (RTO/RPO), network segmentation, identity and security by design, and cost-aware design, ideally guided by well-architected frameworks (Azure, AWS or Google Cloud).
• Infrastructure as Code with Terraform (or a comparable tool such as Bicep, Pulumi or CloudFormation).
• Working knowledge of Docker and container orchestration.
• Experience building CI/CD pipelines (Bitbucket Pipelines, GitHub Actions, GitLab CI, Azure DevOps or similar).
• Comfort with Linux, networking fundamentals (VNets/VPCs, DNS, load balancers, TLS) and scripting in Bash or Python.
• Professional working English, written and spoken, for daily collaboration with an international team.

Advanced Qualifications (Nice to Have)

• Azure knowledge or experience: Container Apps or AKS, Entra ID, Key Vault, Azure Monitor, Azure networking. An Azure certification such as AZ-104, AZ-400 or AZ-305 is a plus.
• Security and compliance: experience with audits and frameworks such as SOC 2, ISO 27001 or similar; collecting audit evidence; vulnerability management; cloud security posture tools (Microsoft Defender for Cloud, Security Command Center, AWS Security Hub).
• Backend development background: previous experience as a backend developer, having built APIs or services in Python (e.g. FastAPI), Node.js, Go, Java or C#. This role doesn't involve backend development, but that background helps you understand the applications you deploy.
• Multi-cloud experience across two or more of Azure, GCP and AWS.
• Experience with observability stacks (Elastic, Grafana, Prometheus or cloud-native tools).
• Cloud or security certifications (Azure, AWS, GCP, CKA, Security+ or similar).
• Master's degree (Maestría) in a related field.